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Boca blockchain
Publish: 2021-05-01 20:43:30
1. How much does it cost to register a company in Shanghai? Many entrepreneurs will probably ask this question. In the era of national entrepreneurship, most people will choose to register the company after they have a project. However, there are two practical problems in front of Shanghai registered company:
first, if there is not much start-up capital in hand, how to raise funds to set up a company with a registered capital of 1 million yuan
Second, we are going to start business at home at the beginning, but we can't complete the instrial and commercial registration of family residence. What should we do< In fact, since March 1, 2014, the state has begun to adjust its policies and implement the system of subscription of registered capital. Even if there is no start-up capital, other methods can be used to register the company. In the new policy, the restrictions on the way, time limit and amount of capital contribution are cancelled. The purpose of the state's move is to encourage entrepreneurship. Even if you don't have any money, you can easily register a company with 1 million yuan in this way. In the future, when you make money, you can supplement the registered capital
What are the fees for registering a company in Shanghai, regardless of the registered capital? Zhihao has sorted out for you the expenses of business registration, seal engraving and tax registration certificate in the process of company registration, as well as the expenses of subsequent business tax declaration, taxpayer and registered address of the company
I. business registration fees. In the national policy, business registration does not need to spend money, free of charge
2. The cost of official seal engraving. A very important step to complete the instrial and commercial registration is to obtain the official seal. The cost of carving the official seal is 50 yuan / set, which is a necessary cost< Third, the cost of tax registration certificate. The fee is free< 4. Fees for Instry license and food hygiene license. If the company needs to apply for these certificates, there may be corresponding expenses< 5. The bank opens the basic account of the company. For bank account opening, the fee charged by each company may vary to a certain extent. The general fee is more than 500 yuan< 6. The cost of purchasing invoice. The company needs to buy tax cards, special printers, billing software and so on. The total cost is about 2000-3000 yuan< 7. If you need to apply for general taxpayer qualification and issue VAT invoice, the cost will be increased. If an enterprise is engaged in import and export trade, there are administrative charges when it goes through the import and export filing proceres, and the cost is about 2000 yuan.
8. If it is entrusted to an agent company, the cost of registering a million companies in Shanghai is not much, but in the process of registering a company, there may be a lot of cumbersome affairs to deal with, In this case, in fact, looking for an agent to complete the registration can save more time and energy. The total agent fee is about 500 yuan
simply speaking, the process of business registration in Shanghai is as follows:
check the name - register online - hand in the business establishment information - get the business license - engrave the seal - do the organization code certificate - do the tax registration certificate - open the basic account (taxpayer)
the detailed steps and cycle are as follows:
1. To approve a company name, it is better to submit 3-5 company names in the preferred order at a time to prevent plicate names. If it is submitted again, the approval time will be longer. The name of the company requires the company name, shareholder name, ID number and capital contribution ratio. 1-3 days
2. After the name is approved, fill in all the delivery materials, make an appointment, and submit the documents to the Administration for Instry and commerce; 7 days
3 and 7 days later, after obtaining the business license, we will handle the tax, code and stamp. 7 days to complete the documents
first, if there is not much start-up capital in hand, how to raise funds to set up a company with a registered capital of 1 million yuan
Second, we are going to start business at home at the beginning, but we can't complete the instrial and commercial registration of family residence. What should we do< In fact, since March 1, 2014, the state has begun to adjust its policies and implement the system of subscription of registered capital. Even if there is no start-up capital, other methods can be used to register the company. In the new policy, the restrictions on the way, time limit and amount of capital contribution are cancelled. The purpose of the state's move is to encourage entrepreneurship. Even if you don't have any money, you can easily register a company with 1 million yuan in this way. In the future, when you make money, you can supplement the registered capital
What are the fees for registering a company in Shanghai, regardless of the registered capital? Zhihao has sorted out for you the expenses of business registration, seal engraving and tax registration certificate in the process of company registration, as well as the expenses of subsequent business tax declaration, taxpayer and registered address of the company
I. business registration fees. In the national policy, business registration does not need to spend money, free of charge
2. The cost of official seal engraving. A very important step to complete the instrial and commercial registration is to obtain the official seal. The cost of carving the official seal is 50 yuan / set, which is a necessary cost< Third, the cost of tax registration certificate. The fee is free< 4. Fees for Instry license and food hygiene license. If the company needs to apply for these certificates, there may be corresponding expenses< 5. The bank opens the basic account of the company. For bank account opening, the fee charged by each company may vary to a certain extent. The general fee is more than 500 yuan< 6. The cost of purchasing invoice. The company needs to buy tax cards, special printers, billing software and so on. The total cost is about 2000-3000 yuan< 7. If you need to apply for general taxpayer qualification and issue VAT invoice, the cost will be increased. If an enterprise is engaged in import and export trade, there are administrative charges when it goes through the import and export filing proceres, and the cost is about 2000 yuan.
8. If it is entrusted to an agent company, the cost of registering a million companies in Shanghai is not much, but in the process of registering a company, there may be a lot of cumbersome affairs to deal with, In this case, in fact, looking for an agent to complete the registration can save more time and energy. The total agent fee is about 500 yuan
simply speaking, the process of business registration in Shanghai is as follows:
check the name - register online - hand in the business establishment information - get the business license - engrave the seal - do the organization code certificate - do the tax registration certificate - open the basic account (taxpayer)
the detailed steps and cycle are as follows:
1. To approve a company name, it is better to submit 3-5 company names in the preferred order at a time to prevent plicate names. If it is submitted again, the approval time will be longer. The name of the company requires the company name, shareholder name, ID number and capital contribution ratio. 1-3 days
2. After the name is approved, fill in all the delivery materials, make an appointment, and submit the documents to the Administration for Instry and commerce; 7 days
3 and 7 days later, after obtaining the business license, we will handle the tax, code and stamp. 7 days to complete the documents
2. [interpretation of new technology of auto home]? What is the most important component of the automatic driving system? Is it a sensor? Is it control software? Or processing chip? Personally, I think at the present stage, the processing chip is the most critical component, and its performance directly affects the quality of the automatic driving system. In the past, the top chip technology has been monopolized by foreign enterprises, but with the rapid catch-up of Chinese chip enterprises in recent years, the situation has changed. Today, let's talk about the level of China's automatic driving chip
● what is the autopilot chip for
although L3 level conditional autonomous vehicles have not yet landed in China, from some vehicles with high-level L2 driving assistance system, we can find that these vehicles are equipped with a large number of sensors to detect obstacles around the vehicle, so as to provide data support for control system decision-making. These sensors include millimeter wave radar, ultrasonic radar, camera and so on. These sensors will generate several GB (1GB = 1024MB = 10242kb) of data per second. The autopilot chip needs to process these data smoothly to ensure that the system can make correct decisions in time, so as to ensure the driving safety of the vehicle
maybe you don't have the concept of gigabytes per second. Here's an example from life. The peak reading speed of a common USB 3.0 interface U disk is close to 200MB / s. It takes about 5 seconds to read 1GB files from this U disk, which shows that the amount of data in GB / S is quite large
automatic driving system needs not only to solve the problem of large flow data transmission, but also to solve the problem of how to deal with these huge amounts of data quickly, and the powerful automatic driving chip is the right key.
● what is the level of foreign autopilot chips
although this article mainly talks about the development of China's autopilot chip, we should know ourselves well and win every battle. Before we examine the local situation, we should first understand the situation abroad. There are only three foreign autopilot chips that can really enter the mass proction car market on a large scale: NVIDIA, Mobileye (now acquired by Intel) and Tesla
among them, Mobileye, which takes a practical route, currently has a market share of more than 70%. The procts on the market are mainly eyeq3 chips (0.256tops, "tops" means trillions of operations per second), which are used in L2 driving assistance system, Unless otherwise specified, the computing power indicated in this paper refers to 8-bit integer computing power) and eyeq4 chip (computing power 2.5tops) with L3 level automatic driving ability. For example, Xiaopeng G3, Weilai ES6 / es8 and GAC new energy aion LX adopt eyeq4 chip as the core of their driving assistance system
compared with the computing power of drive PX Pegasus 320tops, the flagship of NVIDIA's previous generation automatic driving platform, the flagship configuration of the new drive AgX Orin platform has achieved multiple performance growth. In addition, the degree of flexibility of the drive AgX Orin platform is further improved compared with the previous platform, which can meet the requirements of different levels of vehicles from general driving assistance to L5 level fully automatic driving through the increase or decrease of hardware configuration
Tesla autopilot 1.0 system uses one NVIDIA tegra3 chip and one Mobileye eyeq3 chip; Autopilot 2.0 system uses one NVIDIA Tegra Parker chip and one Pascal architecture GPU chip; Autopilot 2.5 system uses two NVIDIA Tegra Parker chips and one Pascal architecture GPU chip
the self-developed FSD chip has been carried on the latest off-line Tesla models. The computing power of a single chip is 72tops. The full self driving computer integrates two FSD chips that work independently. One "hangs" and the other "goes up" immediately, which improves the security and stability of the whole system
of course, in addition to the above three enterprises, there are also many enterprises coveting the cake of autonomous driving chips, including Qualcomm, Xilinx, NXP, etc., but the autonomous driving chips that these enterprises are really going to mass proce cars are not large-scale. Limited to space, I will not introce them here
● the rapid rise of China's automatic driving chip Enterprises. Auto driving chip market is booming, and foreign technology giants rush to land. How about the strength of Chinese enterprises? Now let's take a look< The Cambrian China Science and Technology Co., Ltd. (hereinafter referred to as "Cambrian") is a research group led by Chen Yunji and Chen Tianshi under the Institute of computing technology, Chinese Academy of Sciences. The research group began to study neural network algorithm and chip in 2008, and began to publish research results in 2012
in 2016, diannaoyu, the instruction set of deep learning processor proposed by the above research group, was accepted by isca2016. Experiments show that the chip with this instruction set has two orders of magnitude performance advantages in neural network computing compared with the chip with traditional x86 instruction set. As the research results of the research group tend to mature, China Science and technology Cambrian science and Technology Co., Ltd. was officially established, and began to transform its chip and instruction set to the commercial field. Also in 2016, Cambrian released its first commercial deep learning processor, Cambrian 1a
after talking about the company's life experience, let's take a look at its procts. At present, there are two latest AI chip IP licenses in Cambrian, namely cambrian-1m and cambrian-1h. Cambricon-1m-4k, with the strongest performance index, has 8tops computing power at 1GHz clock frequency; Cambricon-1h8mini, with the weakest performance index, has 0.5tops computing power at 1GHz clock frequency. The detailed force calculation parameters of all models can be seen in the table below
cambricon-1m and cambricon-1h are defined as terminal intelligent processor IP. The applications such as face recognition, fingerprint recognition, obstacle recognition, road sign recognition and so on, which appear on mobile phones or cars, can be accelerated by integrating the above processor IP in the chip
the word "edge" mentioned above comes from "edge computing". Edge computing refers to providing network, storage, computing, application and other capabilities at the end close to intelligent devices (terminals) or data sources (cloud), so as to achieve faster network service response and more secure local data transmission. Edge computing can meet the requirements of real-time business, intelligent applications, security and privacy protection, and provide local intelligent services for users. Siyuan 220 plays the role of improving data security, recing processing delay and optimizing bandwidth utilization in edge computing
at present, Cambrian high computing power chip procts are defined as smart accelerators, which can be used to accelerate AI operations in servers. I believe you've heard that Google's alphago AI robot beat South Korea's world go champion Li Shishi. Behind the alphago AI robot is Google's self-developed TPU chip. The features and applications of Cambrian high computing power chip procts are similar to Google TPU. Of course, they can also be regarded as competitors
the difference is that Siyuan 270-s4 adopts a passive cooling design, with a maximum thermal design power consumption of 70W, and is positioned as a data center accelerator card with higher energy efficiency than that designed by artificial intelligence reasoning. This also means that the card will have a "power wall" setting, that is, when the power consumption of the accelerator card reaches the upper limit of the threshold, the computing power will be reced to ensure lower power consumption and heating
Siyuan 270-f4 is equivalent to "full blood version" Siyuan 270-s4, with a maximum thermal design power consumption of 150W and active cooling by turbofan. Good heat dissipation and sufficient power supply enable Siyuan 270-f4 to give full play to the full performance of Siyuan 270 chip. The positioning of the card is to provide data center level AI computing power for desktop environment. In short, it is a high-performance AI accelerator card for desktop
although Siyuan 270 only uses TSMC's 16nm process, the overall energy consumption ratio is quite good. Although the computing power of a single card is less than that of the latest NVIDIA flagship computing card, the peak computing power of five Siyuan 270-s4 / Siyuan 270-f4 parallel cards can also reach the level of NVIDIA A100. However, the more advanced process of NVIDIA A100 should have certain advantages in energy consumption
among them, Siyuan 100-c is equipped with video and image decoding units and adopts passive cooling mode, with the maximum thermal design power consumption of 110W; Siyuan 100-d is not equipped with video and image decoding unit, and adopts passive cooling mode, with the maximum thermal design power consumption of 75W. At present, Siyuan 100 series procts have been applied in didi cloud and Jinshan cloud in 2019. Didi cloud uses Siyuan 100 card to accelerate the elastic reasoning service, which is used for deep learning reasoning task; Jinshanyun uses Siyuan 100 card to accelerate the application of artificial intelligence such as voice, image and video
what I mentioned above is all about server level computing cards. Does this deviate from the topic of autopilot chip that we should talk about? Not really. As mentioned earlier, Cambrian is currently an enterprise focusing on the development of artificial intelligence chips, and the field of automatic driving is not deeply involved, but there are still some achievements through the cooperation with other domestic partners< The br / > WiseADCU CN1 automatic driving domain controller provides the computing power and the number of sensor connections required for L3 or above level automatic driving system, and realizes the self control of seven key control points of simulation, model, system, architecture, encoding, acceleration, and algorithm.
in fact, e to the weak performance competitiveness of processor procts, Weisheng group has long withdrawn from the competition in the mainstream x86 processor market, leaving Intel and AMD competing in the market. Since the establishment of megacore, it has mastered Viagra's x86 technology, made comprehensive improvement and Optimization on the basis of the latest processor architecture of Viagra at that time, and successively launched zx-a, zx-c, zx-c + and other processor procts
on June 2, the municipal Party committee of science and Technology Innovation Board announced the results of the 33rd review meeting in 2020, and the listing of Cambrian was approved. From acceptance to approval, it took only 68 days for Cambrian to refresh the review speed of science and technology innovation board. Cambrian has become the only AI chip company in A-share market since its listing. The market space in this field is expected to exceed 50 billion US dollars in 2022, with huge development potential. Can Cambrian, which has opened up A-share financing channels, further develop and grow with its unique technical advantages? No one can say for sure, but it is certain that the successful listing of the Cambrian period has won the confidence and hope of many companies engaged in this field, which may usher in the era of Chinese artificial intelligence chips
> horizon robot
OK, after talking about the Cambrian, let's talk about another AI chip enterprise, horizon robot technology research and Development Co., Ltd. (hereinafter referred to as "Horizon"). Horizon is a company founded in 2015 by Yu Kai, former executive vice president of the online Deep Learning Institute, focusing on automatic driving and artificial intelligence chips. Yu Kai is also the originator of Internet autopilot
the horizon established by Yu Kai has always adhered to the direction of combining software and hardware. He believes that algorithms, chips and cloud computing will constitute the three core fulcrums of automatic driving. Compared with the Cambrian period, which focused on building high-performance hardware chips, horizon's business model focused on "algorithm + chip"
● what is the autopilot chip for
although L3 level conditional autonomous vehicles have not yet landed in China, from some vehicles with high-level L2 driving assistance system, we can find that these vehicles are equipped with a large number of sensors to detect obstacles around the vehicle, so as to provide data support for control system decision-making. These sensors include millimeter wave radar, ultrasonic radar, camera and so on. These sensors will generate several GB (1GB = 1024MB = 10242kb) of data per second. The autopilot chip needs to process these data smoothly to ensure that the system can make correct decisions in time, so as to ensure the driving safety of the vehicle
maybe you don't have the concept of gigabytes per second. Here's an example from life. The peak reading speed of a common USB 3.0 interface U disk is close to 200MB / s. It takes about 5 seconds to read 1GB files from this U disk, which shows that the amount of data in GB / S is quite large
automatic driving system needs not only to solve the problem of large flow data transmission, but also to solve the problem of how to deal with these huge amounts of data quickly, and the powerful automatic driving chip is the right key.
● what is the level of foreign autopilot chips
although this article mainly talks about the development of China's autopilot chip, we should know ourselves well and win every battle. Before we examine the local situation, we should first understand the situation abroad. There are only three foreign autopilot chips that can really enter the mass proction car market on a large scale: NVIDIA, Mobileye (now acquired by Intel) and Tesla
among them, Mobileye, which takes a practical route, currently has a market share of more than 70%. The procts on the market are mainly eyeq3 chips (0.256tops, "tops" means trillions of operations per second), which are used in L2 driving assistance system, Unless otherwise specified, the computing power indicated in this paper refers to 8-bit integer computing power) and eyeq4 chip (computing power 2.5tops) with L3 level automatic driving ability. For example, Xiaopeng G3, Weilai ES6 / es8 and GAC new energy aion LX adopt eyeq4 chip as the core of their driving assistance system
compared with the computing power of drive PX Pegasus 320tops, the flagship of NVIDIA's previous generation automatic driving platform, the flagship configuration of the new drive AgX Orin platform has achieved multiple performance growth. In addition, the degree of flexibility of the drive AgX Orin platform is further improved compared with the previous platform, which can meet the requirements of different levels of vehicles from general driving assistance to L5 level fully automatic driving through the increase or decrease of hardware configuration
Tesla autopilot 1.0 system uses one NVIDIA tegra3 chip and one Mobileye eyeq3 chip; Autopilot 2.0 system uses one NVIDIA Tegra Parker chip and one Pascal architecture GPU chip; Autopilot 2.5 system uses two NVIDIA Tegra Parker chips and one Pascal architecture GPU chip
the self-developed FSD chip has been carried on the latest off-line Tesla models. The computing power of a single chip is 72tops. The full self driving computer integrates two FSD chips that work independently. One "hangs" and the other "goes up" immediately, which improves the security and stability of the whole system
of course, in addition to the above three enterprises, there are also many enterprises coveting the cake of autonomous driving chips, including Qualcomm, Xilinx, NXP, etc., but the autonomous driving chips that these enterprises are really going to mass proce cars are not large-scale. Limited to space, I will not introce them here
● the rapid rise of China's automatic driving chip Enterprises. Auto driving chip market is booming, and foreign technology giants rush to land. How about the strength of Chinese enterprises? Now let's take a look< The Cambrian China Science and Technology Co., Ltd. (hereinafter referred to as "Cambrian") is a research group led by Chen Yunji and Chen Tianshi under the Institute of computing technology, Chinese Academy of Sciences. The research group began to study neural network algorithm and chip in 2008, and began to publish research results in 2012
in 2016, diannaoyu, the instruction set of deep learning processor proposed by the above research group, was accepted by isca2016. Experiments show that the chip with this instruction set has two orders of magnitude performance advantages in neural network computing compared with the chip with traditional x86 instruction set. As the research results of the research group tend to mature, China Science and technology Cambrian science and Technology Co., Ltd. was officially established, and began to transform its chip and instruction set to the commercial field. Also in 2016, Cambrian released its first commercial deep learning processor, Cambrian 1a
after talking about the company's life experience, let's take a look at its procts. At present, there are two latest AI chip IP licenses in Cambrian, namely cambrian-1m and cambrian-1h. Cambricon-1m-4k, with the strongest performance index, has 8tops computing power at 1GHz clock frequency; Cambricon-1h8mini, with the weakest performance index, has 0.5tops computing power at 1GHz clock frequency. The detailed force calculation parameters of all models can be seen in the table below
cambricon-1m and cambricon-1h are defined as terminal intelligent processor IP. The applications such as face recognition, fingerprint recognition, obstacle recognition, road sign recognition and so on, which appear on mobile phones or cars, can be accelerated by integrating the above processor IP in the chip
the word "edge" mentioned above comes from "edge computing". Edge computing refers to providing network, storage, computing, application and other capabilities at the end close to intelligent devices (terminals) or data sources (cloud), so as to achieve faster network service response and more secure local data transmission. Edge computing can meet the requirements of real-time business, intelligent applications, security and privacy protection, and provide local intelligent services for users. Siyuan 220 plays the role of improving data security, recing processing delay and optimizing bandwidth utilization in edge computing
at present, Cambrian high computing power chip procts are defined as smart accelerators, which can be used to accelerate AI operations in servers. I believe you've heard that Google's alphago AI robot beat South Korea's world go champion Li Shishi. Behind the alphago AI robot is Google's self-developed TPU chip. The features and applications of Cambrian high computing power chip procts are similar to Google TPU. Of course, they can also be regarded as competitors
the difference is that Siyuan 270-s4 adopts a passive cooling design, with a maximum thermal design power consumption of 70W, and is positioned as a data center accelerator card with higher energy efficiency than that designed by artificial intelligence reasoning. This also means that the card will have a "power wall" setting, that is, when the power consumption of the accelerator card reaches the upper limit of the threshold, the computing power will be reced to ensure lower power consumption and heating
Siyuan 270-f4 is equivalent to "full blood version" Siyuan 270-s4, with a maximum thermal design power consumption of 150W and active cooling by turbofan. Good heat dissipation and sufficient power supply enable Siyuan 270-f4 to give full play to the full performance of Siyuan 270 chip. The positioning of the card is to provide data center level AI computing power for desktop environment. In short, it is a high-performance AI accelerator card for desktop
although Siyuan 270 only uses TSMC's 16nm process, the overall energy consumption ratio is quite good. Although the computing power of a single card is less than that of the latest NVIDIA flagship computing card, the peak computing power of five Siyuan 270-s4 / Siyuan 270-f4 parallel cards can also reach the level of NVIDIA A100. However, the more advanced process of NVIDIA A100 should have certain advantages in energy consumption
among them, Siyuan 100-c is equipped with video and image decoding units and adopts passive cooling mode, with the maximum thermal design power consumption of 110W; Siyuan 100-d is not equipped with video and image decoding unit, and adopts passive cooling mode, with the maximum thermal design power consumption of 75W. At present, Siyuan 100 series procts have been applied in didi cloud and Jinshan cloud in 2019. Didi cloud uses Siyuan 100 card to accelerate the elastic reasoning service, which is used for deep learning reasoning task; Jinshanyun uses Siyuan 100 card to accelerate the application of artificial intelligence such as voice, image and video
what I mentioned above is all about server level computing cards. Does this deviate from the topic of autopilot chip that we should talk about? Not really. As mentioned earlier, Cambrian is currently an enterprise focusing on the development of artificial intelligence chips, and the field of automatic driving is not deeply involved, but there are still some achievements through the cooperation with other domestic partners< The br / > WiseADCU CN1 automatic driving domain controller provides the computing power and the number of sensor connections required for L3 or above level automatic driving system, and realizes the self control of seven key control points of simulation, model, system, architecture, encoding, acceleration, and algorithm.
in fact, e to the weak performance competitiveness of processor procts, Weisheng group has long withdrawn from the competition in the mainstream x86 processor market, leaving Intel and AMD competing in the market. Since the establishment of megacore, it has mastered Viagra's x86 technology, made comprehensive improvement and Optimization on the basis of the latest processor architecture of Viagra at that time, and successively launched zx-a, zx-c, zx-c + and other processor procts
on June 2, the municipal Party committee of science and Technology Innovation Board announced the results of the 33rd review meeting in 2020, and the listing of Cambrian was approved. From acceptance to approval, it took only 68 days for Cambrian to refresh the review speed of science and technology innovation board. Cambrian has become the only AI chip company in A-share market since its listing. The market space in this field is expected to exceed 50 billion US dollars in 2022, with huge development potential. Can Cambrian, which has opened up A-share financing channels, further develop and grow with its unique technical advantages? No one can say for sure, but it is certain that the successful listing of the Cambrian period has won the confidence and hope of many companies engaged in this field, which may usher in the era of Chinese artificial intelligence chips
> horizon robot
OK, after talking about the Cambrian, let's talk about another AI chip enterprise, horizon robot technology research and Development Co., Ltd. (hereinafter referred to as "Horizon"). Horizon is a company founded in 2015 by Yu Kai, former executive vice president of the online Deep Learning Institute, focusing on automatic driving and artificial intelligence chips. Yu Kai is also the originator of Internet autopilot
the horizon established by Yu Kai has always adhered to the direction of combining software and hardware. He believes that algorithms, chips and cloud computing will constitute the three core fulcrums of automatic driving. Compared with the Cambrian period, which focused on building high-performance hardware chips, horizon's business model focused on "algorithm + chip"
3. It is impossible
the total amount of Boca issued after the split is 1 billion. If Boca rises to 10000 yuan, its market value will reach 10 trillion yuan, and the total market value of global gold is about 8 trillion US dollars. Boca can't replace gold, so Boca can't rise to 10000 Yuan
Polkadot is a blockchain agreement, It aims to support multiple chains within a blockchain network. It aims to overcome a problem in the current blockchain environment: hundreds of blockchains exist in isolation and have little communication ability
History of Polkadot
Polkadot was developed by parity technologies and led by Gavin wood and Jutta Steiner, two former Ethereum executives. The project is also supported by the Web3 foundation, a closely related organization that provides funding, advocacy, research and cooperation for the project
parity was established in 2015. Initially, it began to develop node software only for Ethereum, known as the parity Ethereum client. The company has phased out its support for the project, allowing it to focus on Polkadot and its related project, substance
development started in November 2017, when developers released the first piece of code on GitHub
the company launched two proof of concept in mid-2018 and deployed Polkadot's first parallel chain in July 2018. Polkadot will be launched as "initial" in May 2020, and token transfer will be launched in August 2020
as of September 2020, Polkadot's relay chain has not been activated, and the on chain auction has not been launched
the total amount of Boca issued after the split is 1 billion. If Boca rises to 10000 yuan, its market value will reach 10 trillion yuan, and the total market value of global gold is about 8 trillion US dollars. Boca can't replace gold, so Boca can't rise to 10000 Yuan
Polkadot is a blockchain agreement, It aims to support multiple chains within a blockchain network. It aims to overcome a problem in the current blockchain environment: hundreds of blockchains exist in isolation and have little communication ability
History of Polkadot
Polkadot was developed by parity technologies and led by Gavin wood and Jutta Steiner, two former Ethereum executives. The project is also supported by the Web3 foundation, a closely related organization that provides funding, advocacy, research and cooperation for the project
parity was established in 2015. Initially, it began to develop node software only for Ethereum, known as the parity Ethereum client. The company has phased out its support for the project, allowing it to focus on Polkadot and its related project, substance
development started in November 2017, when developers released the first piece of code on GitHub
the company launched two proof of concept in mid-2018 and deployed Polkadot's first parallel chain in July 2018. Polkadot will be launched as "initial" in May 2020, and token transfer will be launched in August 2020
as of September 2020, Polkadot's relay chain has not been activated, and the on chain auction has not been launched
4. From bitcoin to Ethereum, it seems that more and more institutional traders are interested in accumulating Ethereum for long-term benefits, because Ethereum is also a store of value
1. Ethereum: a better value accumulation target
for many years, accumulating bitcoin has been the main way to store the value of cryptocurrency. Investors use bitcoin as a sharp weapon against the economic crisis. However, institutional traders are now also interested in Ethereum
in the 2020 annual review report of coinbase, it is noted that institutional customers are more and more interested in Ethereum. The reason is related to how investors evaluate Ethereum ecosystem
first of all, it is the original currency of the network. Because Ethereum is a platform for many valuable projects, Ethereum has become a powerful trading currency in Ethereum ecosystem
Why are more and more institutional traders hoarding Ethereum
the report points out that the driving force for Ethereum holders to invest comes from: first, Ethereum's potential as a value store is constantly developing; 2、 Ethereum's status as a digital currency provides the basis for its network transactions<
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2. Investment institutions such as coinbase and Gemini are optimistic about Ethereum and defi
Arthur Cheong, founder of definance capital and portfolio manager focusing on defi encryption fund, pointed out in a statement in coindesk, "I think bold investors will explore Ethereum and defi after studying bitcoin."
according to the data, some investment institutions such as coinbase and Gemini are incredibly bullish on Ethereum. In addition, more and more large investors are looking for different decentralized financing space
Why are more and more institutional traders hoarding Ethereum< However, deniss vinokourou, a digital asset investment manager, believes that "not everyone is satisfied with the risks associated with defi that still exist, but the rapid growth of active projects in Ethereum supports capital appreciation."
unlike bitcoin, Ethereum has many ways to retain investors and lock them in for a long time. After the release of eth2.0, Ethereum owners have made a lot of profits in long Ethereum
the original text is from ambcrypto and compiled by blockchain knight. The right in English belongs to the original author. If you want to reprint it in Chinese, please contact the compiler.
1. Ethereum: a better value accumulation target
for many years, accumulating bitcoin has been the main way to store the value of cryptocurrency. Investors use bitcoin as a sharp weapon against the economic crisis. However, institutional traders are now also interested in Ethereum
in the 2020 annual review report of coinbase, it is noted that institutional customers are more and more interested in Ethereum. The reason is related to how investors evaluate Ethereum ecosystem
first of all, it is the original currency of the network. Because Ethereum is a platform for many valuable projects, Ethereum has become a powerful trading currency in Ethereum ecosystem
Why are more and more institutional traders hoarding Ethereum
the report points out that the driving force for Ethereum holders to invest comes from: first, Ethereum's potential as a value store is constantly developing; 2、 Ethereum's status as a digital currency provides the basis for its network transactions<
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2. Investment institutions such as coinbase and Gemini are optimistic about Ethereum and defi
Arthur Cheong, founder of definance capital and portfolio manager focusing on defi encryption fund, pointed out in a statement in coindesk, "I think bold investors will explore Ethereum and defi after studying bitcoin."
according to the data, some investment institutions such as coinbase and Gemini are incredibly bullish on Ethereum. In addition, more and more large investors are looking for different decentralized financing space
Why are more and more institutional traders hoarding Ethereum< However, deniss vinokourou, a digital asset investment manager, believes that "not everyone is satisfied with the risks associated with defi that still exist, but the rapid growth of active projects in Ethereum supports capital appreciation."
unlike bitcoin, Ethereum has many ways to retain investors and lock them in for a long time. After the release of eth2.0, Ethereum owners have made a lot of profits in long Ethereum
the original text is from ambcrypto and compiled by blockchain knight. The right in English belongs to the original author. If you want to reprint it in Chinese, please contact the compiler.
5.
Dot is not a coin“ "Dot" means that the tire meets the safety standards specified by the U.S. Department of transportation (DOT)“ The 11 digits and letters immediately after "dot" indicate the identification number or serial number of the tire. Dot is divided into three levels: A, B and C, of which the C level is the lowest, only reaching the minimum performance conditions specified by the U.S. Department of transportation (DOT). The other two levels are higher than the standard required by dot
extended data:
the application research of dot mainly focuses on the following aspects:
1. Optical breast imaging technology early diagnosis of breast tumor
2. Observation of oxygen supply and blood oxygen dynamics ring neonatal brain development
Brain functional imaging4
6. Unknown_Error
7. A few days ago, the Egyptian canal was blocked and the boats couldn't get through. Then they had to raise the price or something. In fact, layer2 is the same as this. If you initiate transactions in the blockchain, you need to expand the capacity of the application. At present, it is a mainstream development direction. You can see that Boca ecosystem, lightning network and SIPC are all expanding capacity to improve efficiency.
8. Check the car, you take the license. Just go to the vehicle management office.
9. Digital finance group (DFG), founded in 2015, is a group enterprise focusing on cryptocurrency, digital assets and blockchain technology.
10. 1、 Passionate red spirit
represents the constellation Aries
II. Simple and restrained blue charm
represents the constellation Taurus
III. lively and pleasant sweet orange
represents the constellation Gemini
IV. pure white
represents the constellation Cancer
v. bright focus of yellow
represents the constellation Leo
v />
six. Perfect and indifferent olive green
represents Constellation: Virgo
seven. Romantic and elegant purplish red
represents Constellation: Libra
eight. Deep and mysterious deep purple
represents Constellation: Scorpio
nine. Energetic light green
represents Constellation: Sagittarius
ten. Solemn and calm sea blue
represents Constellation: Capricorn
ten />
11. Light blue of carefree self
represents Constellation: Aquarius
12. Fairy tale princess orange
represents Constellation: Pisces
represents the constellation Aries
II. Simple and restrained blue charm
represents the constellation Taurus
III. lively and pleasant sweet orange
represents the constellation Gemini
IV. pure white
represents the constellation Cancer
v. bright focus of yellow
represents the constellation Leo
v />
six. Perfect and indifferent olive green
represents Constellation: Virgo
seven. Romantic and elegant purplish red
represents Constellation: Libra
eight. Deep and mysterious deep purple
represents Constellation: Scorpio
nine. Energetic light green
represents Constellation: Sagittarius
ten. Solemn and calm sea blue
represents Constellation: Capricorn
ten />
11. Light blue of carefree self
represents Constellation: Aquarius
12. Fairy tale princess orange
represents Constellation: Pisces
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